Agent-based Modelling to Evaluate the Impact of Plug-in Electric Vehicles on Distribution Systems
- 1 September 2019
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2019 International Conference on Smart Energy Systems and Technologies (SEST)
Abstract
Massive adoption of Electric Vehicles (EVs) could create issues in the electrical distribution system operation, in terms of currents and voltages. The analysis of the EV impact is a complex task, as the EV loads are variable in space and time depending on people routines, traffic conditions and recharge strategies. In this paper, an agent-based tool is presented to study the evolution of a city system with different EV penetrations. Drivers are represented through the use of several sociodemographic and psychological parameters in order to recreate a realistic activity schedule based on a set of rules. The system representation is divided into a static part referring to the environment, and a dynamic part where EV agents interact with each other and recharge their EVs influencing the grid. The results show the soundness of the approach and highlight where and when possible grid congestion can appear. Branch overloading, especially with high R/X ratio lines, is the first dangerous situation that can occur in distribution grids increasing the number of EV users.Keywords
This publication has 17 references indexed in Scilit:
- Modelling electric vehicles use: a survey on the methodsRenewable and Sustainable Energy Reviews, 2017
- Simultaneous allocation of electric vehicles’ parking lots and distributed renewable resources in smart power distribution networksSustainable Cities and Society, 2017
- Evaluation of Achievable Vehicle-to-Grid Capacity Using Aggregate PEV ModelIEEE Transactions on Power Systems, 2016
- A novel quad tree based data clustering techniquePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Multi-objective scheduling of electric vehicles in smart distribution systemEnergy Conversion and Management, 2014
- Plug-in hybrid electric vehicles and smart grids: Investigations based on a microsimulationTransportation Research Part C: Emerging Technologies, 2013
- Time-dependent plug-in hybrid electric vehicle charging based on national driving patterns and demographicsApplied Energy, 2012
- Modelling the impacts of electric vehicle recharging on the Western Australian electricity supply systemEnergy Policy, 2011
- Beyond batteries: An examination of the benefits and barriers to plug-in hybrid electric vehicles (PHEVs) and a vehicle-to-grid (V2G) transitionEnergy Policy, 2009
- Cellular automata models of road trafficPhysics Reports, 2005